Machine Learning Internship Summer 2027

CoVar; North Carolina; On-site; USD 20,664,000 - 34,440,000; Part time

Benefits offered by this job

Competitive hourly wages

Flexible work schedule

Hybrid policy

Job summary

CoVar is seeking a Python-focused ML internship in Durham, NC to build software and machine learning models that address DoW priorities. You will work hands-on with data, design algorithms, evaluate outcomes, and produce production-ready code under guidance from an advisor.

Applicants should be pursuing a B.S./MS/PhD in engineering, math, or CS and demonstrate strong Python, ML fundamentals, and communication skills.

Qualifications

• Proficiency in Python and ML packages (NumPy, pandas).
• Familiarity with ML fundamentals and CV/NLP concepts.
• Pursuing a science/engineering degree; strong communication is required.

Responsibilities

• Develop software and ML algorithms to solve real-world customer problems.
• Work with data, develop algorithms, and evaluate results.
• Write production code for deployment on real-world systems.
• Present work to DoW customers or CoVar leadership when appropriate.

Skills

Python

NumPy

Pandas

PyTorch

Machine learning fundamentals

Computer vision basics

NLP basics

Clear technical communication

Education

Pursuing B.S./M.S./Ph.D in engineering/math/CS

Tools

Git

Job description

About CoVar

CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. We build advanced software and machine learning systems that help theDoWdetect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives. Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter.

Internship Overview

• 8-12 weeks– flexible, depending on your schedule
• In-person in Durham, NC
• Competitively paid internship
• Matched with one project based on your current expertise and interests
• Paired with an advisor or project lead who will guide you and help you set and meet your goals
• Concludes with you presenting your work either internally to CoVar or externally to the customer

Interview Timeline

• Accepting applications online from now to mid-November 2026
• Interviews starting in September 2026
  • Interview steps consist of a video screening and a code screening
• Offers out by end of November 2026

About the position

You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You may have the opportunity to present your work to high-level customers in the DoW and the industry.

Qualifications

Applicants should have expertise in Python (including NumPy, pandas, and other packages) and PyTorch. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with some computer vision algorithms (e.g., for object classification (ResNet, ResNext), object detection (e.g., YOLO, CenterNet), or image segmentation) and/or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.). Previous experience with DoW customers is a plus.

Minimum qualifications

• Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch.
• AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
• Pursuing B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Work authorization: US citizen

Bonus skills

• Department of War project experience

Benefits

• Competitive hourly wages
• Flexible work schedule
• Hybrid policy (in office at least 3x per week)

Email us: [e-mail]
Visit us: www.covar.com